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Fault diagnosis of lithium ion battery using multiple model adaptive estimation
Kalman filter Extended Kalman filter Lithium Ion Fault probabilities
2015/1/12
Lithium ion (Li-ion) batteries have become integral parts of our lives; they are widely used in applications like handheld consumer products, automotive systems, and power tools among others. To extra...
MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA
Road database Quality Updating Aerial DEM/DTM Classification Model Change detection
2014/5/8
This paper describes a semi-automatic system for road update based on high resolution orthophotos and 3D surface models. Potential
update regions are identified by an object-wise verification of all...
Multiple Model Based Adaptive Reconfiguration Control for Actuator Fault
Actuator fault Multiple model Fault accommodation
2009/9/9
In this paper, an active fault tolerant control strategy is developed to compensate for the effect of actuator fault in the presence of non-measurable rate on the actuator second-order dynamics. The p...
Interacting Multiple Model Particle Filter To Adaptive Visual Tracking
Interacting Multiple Model Particle Filter Adaptive Visual Tracking
2010/12/14
Visual tracking could be formulated as a state estimation problem of target representation based on observations in
image sequences. Approaching visual tracking problem in the Bayesian filter framew...
ON THE EMBEDDED MULTIPLE-MODEL SCORING SCHEME FOR SPEECH RECOGNITION
ON THE EMBEDDED MULTIPLE-MODEL SCORING SCHEME SPEECH RECOGNITION
2013/6/27
A traditional hidden Markov model (HMM) consists of two stochastic processes, a hidden state transition process and a symbol-generating (output observation) process. Researches show that the descripti...